Automated summary
Checks the quality of ADLC phase artifacts (spec, architecture, tasks, implementation) before letting work advance to the next phase.
Strengths
- Ships separate, detailed checklists for each of the four ADLC phases
- Auto-detects the current phase from the artifacts present under .adlc/specs/REQ-xxx-*/
- Covers cross-cutting consistency: acceptance-criteria coverage, cycle-free dependency DAGs, adherence to existing conventions and ADRs
- Supports multi-repo setups by validating each task's repo: field against .adlc/config.yml
Limitations
- Tightly bound to the .adlc/ layout and to a specific stack (Firestore, routes → services → repositories layering)
- Validation is a model-read checklist: it does not actually execute the test suite or a linter
- The provided SKILL.md is truncated at the reporting step, so the exact output format is not fully documented
Use it right after drafting or updating an ADLC artifact, when you need a go/no-go decision before moving to the next phase.
Skip it on projects that don't follow the .adlc/ structure, since the skill stops immediately when .adlc/specs/ is missing.
Security analysis
CautionThe skill performs legitimate validation but uses shell command substitution to source an external script and inspect files. The repo-controlled ethos script introduces a supply-chain risk: if the ADLC repository is compromised, arbitrary commands could execute when the skill runs. No destructive or exfiltration actions are directly instructed, so it is not 'risky', but the use of shell execution for context loading warrants caution.
- •Executes shell script from repo-controlled path `.adlc/partials/ethos-include.sh` via command substitution, which could run arbitrary code if the repository is malicious.
- •Uses shell command substitution (`!` syntax) without declared allowed-tools, potentially bypassing tool restrictions.
- •Runs `grep` over repository files, which is read-only but still involves shell execution.
Examples
/validate REQ-014/validate tasks/validate implementationname: validate description: Validate any ADLC phase output before advancing argument-hint: REQ-xxx ID or phase name (spec, architecture, tasks, implementation)
/validate — ADLC Phase Validation
You are validating ADLC artifacts to ensure quality before advancing to the next phase.
Ethos
!sh .adlc/partials/ethos-include.sh 2>/dev/null || sh ~/.claude/skills/partials/ethos-include.sh
Context
- Active specs: !
grep -rl 'status: draft\|status: approved\|status: in-progress' .adlc/specs/*/requirement.md 2>/dev/null | head -20 || echo "No active specs"
Input
Target: $ARGUMENTS
Prerequisites
Before proceeding, verify that .adlc/specs/ exists. If it doesn't, stop and tell the user: "The .adlc/ structure hasn't been initialized. Run /init first."
Instructions
Step 1: Identify What to Validate
- If given a REQ ID, locate all artifacts under
.adlc/specs/REQ-xxx-*/ - If given a phase name, validate the most recently modified artifacts for that phase
- Determine the current phase based on what artifacts exist:
- Spec phase: Only
requirement.mdexists - Architecture phase:
architecture.mdexists alongside requirement - Task phase:
tasks/directory with task files exists - Implementation phase: Tasks have status
completeor code changes exist
- Spec phase: Only
Step 2: Validate Based on Phase
Validating a Requirement Spec
- [ ] Frontmatter has valid id, title, status, created, updated fields
- [ ] Description clearly explains what AND why
- [ ] Acceptance criteria are specific, testable, and use checkbox format
- [ ] No implementation details in the requirement (belongs in architecture)
- [ ] Assumptions are explicitly stated
- [ ] Out of scope items are defined to prevent scope creep
- [ ] External dependencies are identified
- [ ] No duplicate or overlapping requirements with existing specs
Validating Architecture
- [ ] Architecture follows existing patterns from
.adlc/context/architecture.md - [ ] New ADRs include rationale (not just decisions)
- [ ] Data model changes are compatible with existing Firestore schema
- [ ] API endpoint design follows REST conventions from
.adlc/context/conventions.md - [ ] Service layer follows the layered pattern (routes → services → repositories)
- [ ] No architectural conflicts with other in-progress requirements
Validating Tasks
- [ ] Every task has valid frontmatter (id, title, status, parent, created, updated, dependencies)
- [ ] Tasks form a valid DAG — no circular dependencies (including cross-repo dependencies)
- [ ] Every acceptance criterion from the requirement is covered by at least one task
- [ ] Each task lists specific files to create/modify
- [ ] Tasks are appropriately scoped (not too large, not too granular)
- [ ] Test requirements are included in task acceptance criteria
- [ ] Dependencies reference valid task IDs
Cross-repo tasks — only applies if .adlc/config.yml in the primary repo declares more than one entry under repos:. Skip these checks in single-repo mode.
- [ ] Every task has a
repo:field in its frontmatter - [ ] Every
repo:value matches an id declared in.adlc/config.ymlunderrepos: - [ ] No task modifies files outside its declared
repo:— all paths under "Files to Create/Modify" live in that repo - [ ] At least one task targets the primary repo (even if just spec/doc updates) OR a follow-up confirms the primary needs no code changes
- [ ] Cross-repo dependencies make sense (e.g., a frontend task depending on a backend task, not the reverse)
Validating Implementation
- [ ] All task acceptance criteria are met
- [ ] Tests pass (
npm testor equivalent) - [ ] Code follows conventions from
.adlc/context/conventions.md - [ ] No new lint warnings or errors
- [ ] All requirement acceptance criteria are satisfied
- [ ] ADLC artifacts are updated (task statuses set to
complete)
Step 3: Report Results
- Display validation results as a checklist with pass/fail for each item
- Categorize issues by severity:
- Blocker: Must fix before advancing (e.g., missing acceptance criteria, circular deps)
- Warning: Should fix but won't block (e.g., vague wording, missing edge case)
- Info: Suggestions for improvement
- If all checks pass, confirm the artifact is ready to advance
- If blockers exist, list specific fixes needed
Step 4: Recommend Next Action
- Spec validated → "Ready for
/architect" - Architecture validated → "Ready for implementation"
- Tasks validated → "Ready for implementation"
- Implementation validated → "Ready for
/review"
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/adlc-phase-validation-ms47vp5z' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/adlc-phase-validation-ms47vp5z/download' --output '.skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md.part' && mv '.skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md.part' '.skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Original excerpt: Prerequisites
Before proceeding, verify that .adlc/specs/ exists. If it doesn't, stop and tell the user: "The .adlc/ structure hasn't been initialized. Run /init first."
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md' && test -s '.skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/validate' && cp -R '.skill-downloads/adlc-phase-validation-ms47vp5z' '.claude/skills/validate'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/adlc-phase-validation-ms47vp5z'openskills read 'adlc-phase-validation-ms47vp5z'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/adlc-phase-validation-ms47vp5z/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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